معرفی
David Leiva Ureña is an Associate Professor at the Universitat de Barcelona's Faculty of Psychology, affiliated with the Department of Social Psychology and Quantitative Psychology. He specializes in Quantitative Psychology and Methodology of Behavioral Sciences, leading the Psicologia Quantitativa research group and co-directing the 'Group for Innovation in Learning Statistics in Health'. His work focuses on statistical modeling, data science applications in behavioral research, and educational innovation.
Academic Background: Holds a Doctorate in Psychology (2009), Licenciado in Psychology (2004), and joint degree in Statistics from Universitat de Barcelona and UPC (2016). Completed a DEA (2006) and recent postgraduate training in Data Science (2018).
Research Interests: Includes statistical methods for behavioral research, psychometrics, network analysis in fMRI data, socio-economic impacts of pandemics, and motivational dynamics in academic/work contexts. He has pioneered validation methodologies for quantitative diagnostic measures using functional biomarkers.
Grant Activity: Led/co-led 8 major projects including
- BIOVAL-D (2017-2019) on depression biomarkers
- BIOVAL-D-COVID-19 (2020-2021) pandemic impact study
- Ministerio de Ciencia-funded projects on motivation dynamics and cognitive diagnostics
Teaching: Recent courses include Advanced Regression Analysis, Data Science Tools, and Bioestadística for Health Sciences. Active in educational innovation projects like the 2015-2021 'Information Competency in Psychology Degree' initiative.
Lab Affiliations: Core member of the Quantitative Psychology Group and the Health Statistics Learning Innovation Group, collaborating with ICE-UB and AGAUR-funded initiatives.
